International Journal of Computational Intelligence Systems

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1237 articles
Research Article

Woodland Labeling in Chenzhou, China, via Deep Learning Approach

Wei Wang, Yujing Yang, Ji Li, Yongle Hu, Yanhong Luo, Xin Wang
In order to complete the task of the woodland census in Chenzhou, China, this paper carries out a remote sensing survey on the terrain of this area to produce a data set, and used deep learning methods to label the woodland. There are two main improvements in our paper: Firstly, this paper comparatively...
Research Article

Multi-Criteria Group Decision-Making Using Spherical Fuzzy Prioritized Weighted Aggregation Operators

Muhammad Akram, Samirah Alsulami, Ayesha Khan, Faruk Karaaslan
Spherical fuzzy sets, originally proposed by F.K. Gündogdu, C. Kahraman, Spherical fuzzy sets and spherical fuzzy TOPSIS method, J. Intell. Fuzzy Syst. 36 (2019), 337–352, can handle the information of type: yes, no, abstain and refusal, owing to the feature of broad space of admissible triplets. This...
Research Article

On Relationship between L-valued Approximation Spaces and L-valued Transformation Systems

Sutapa Mahato, S.P. Tiwari
The objective of this paper is to establish the relationship between L-valued approximation spaces and L-valued transformation systems. We show that for each L-valued upper/lower fuzzy transformation system there exist an L-valued reflexive approximation space and vice versa. In between, we study the...
Research Article

Fine-Tuning the Fuzziness of Strong Fuzzy Partitions through PSO

Ciro Castiello, Corrado Mencar
We study the influence of fuzziness of trapezoidal fuzzy sets in the strong fuzzy partitions (SFPs) that constitute the database of a fuzzy rule-based classifier. To this end, we develop a particular representation of the trapezoidal fuzzy sets that is based on the concept of cuts, which are the cross-points...
Research Article

A Novel Particle Swarm Optimization Approach to Support Decision-Making in the Multi-Round of an Auction by Game Theory

Trinh Ngoc Bao, Quyet-Thang Huynh, Xuan-Thang Nguyen, Gia Nhu Nguyen, Dac-Nhuong Le
In this paper, game-theoretic optimization by particle swarm optimization (PSO) is used to determine the Nash equilibrium value, in order to resolve the confusion in choosing appropriate bidders in multi-round procurement. To this end, we introduce an approach that proposes (i) a game-theoretic model...
Research Article

Deep Learning and Higher Degree F-Transforms: Interpretable Kernels Before and After Learning

Vojtech Molek, Irina Perfilieva
One of the current trends in the deep neural network technology consists in allowing a man–machine interaction and providing an explanation of network design and learning principles. In this direction, an experience with fuzzy systems is of great support. We propose our insight that is based on the particular...
Research Article

Implications of Fuzziness for the Practical Management of High-Stakes Risks

Mark Jablonowski
Pages: 1 - 7
High-stakes (dangerous, catastrophic) risks take on a wider profile as progress unfolds. What are the impacts of technological and social change on the risk landscape? Due to the complexities and dynamics involved, we can only answer these questions approximately. By using the concept of fuzziness, we...
Research Article

A New Clonal Selection Immune Algorithm with Perturbation Guiding Search and Nonuniform Hypermutation

Xinchao Zhao, Zaijin Zou, Shuliang Zhao, Guoshuai Zhao, Shaozhang Niu, Guoli Liu
Pages: 1 - 17
A new clonal selection immune algorithm with perturbation guiding search and non-uniform hypermutation (nCSIA) is proposed based on the idea of perturbed particle swarm algorithm and non-uniform mutation. The proposed algorithm proportional clones antibody based on the affinity, adaptively adjusts the...
Research Article

Risk Decision Making Based on Decision-theoretic Rough Set: A Three-way View Decision Model

Huaxiong Li, Xianzhong Zhou
Pages: 1 - 11
Rough set theory has witnessed great success in data mining and knowledge discovery, which provides a good support for decision making on a certain data. However, a practical decision problem always shows diversity under the same circumstance according to different personality of the decision makers....


Pavel Anselmo Alvarez, Rafael Bello Perez
Pages: 1 - 2

Computational intelligence in decision making

Macarena Espinilla, Javier Montero, J. Tinguaro Rodríguez
Pages: 1 - 5
In this preface we stress the relevance of the traditional collaboration between Engineering and any field of Mathematics in order to build intelligent decision-aid tools, as it is illustrated by the twelve papers contained in this Special Issue. These papers, selected by means of a standard peer review...


Irina Perfilieva
Pages: 1 - 2
Research Article

Near-Duplicate Web Page Detection: An Efficient Approach Using Clustering, Sentence Feature and Fingerprinting

J. Prasanna Kumar, P. Govindarajulu
Pages: 1 - 13
Duplicate and near-duplicate web pages are the chief concerns for web search engines. In reality, they incur enormous space to store the indexes, ultimately slowing down and increasing the cost of serving results. A variety of techniques have been developed to identify pairs of web pages that are “similar”...
Research Article

A Finite Equivalence of Verifiable Multi-secret Sharing

Hui Zhao, Mingchu Li, Kouichi Sakurai, Yizhi Ren, JonathanZ. Sun, Fengying Wang
Pages: 1 - 12
We give an abstraction of verifiable multi-secret sharing schemes that is accessible to a fully mechanized analysis. This abstraction is formalized within the applied pi-calculus by using an equational theory which characterizes the cryptographic semantics of secret share. We also present an encoding...
Research Article

Novel Robust Stability Criteria for Uncertain Stochastic Neural Networks with Time-Varying Delay

Yonggang Chen, Yunrui Guo, Wenlin Li
Pages: 1 - 9
This paper considers the robust stability analysis problem for a class of uncertain stochastic neural net- works with time-varying delay. Based on the Lyapunov functional method, and by resorting to the new technique for estimating the upper bound of the stochastic derivative of Lyapunov functionals,...
Research Article

Some Measures Relating Partitions Useful for Computational Intelligence

Ronald R. Yager
Pages: 1 - 18
SOME MEASURES RELATING PARTITIONS USEFUL FOR COMPUTATIONAL INTELLIGENCE We investigate a number of measures relating partitions. One class of measures we consider are congru- ence measures. These measures are used to calculate the similarity between two partitionings. We provide a number of examples...
Research Article

Motion Deblurring for Single Photograph Based on Particle Swarm Optimization

Jing Wei, Zhao Hai, Song Chunhe, Zhu Hongbo
Pages: 1 - 11
This paper addresses the issue of non-uniform motion deblurring for a single photograph. The main difficulty of spatially variant motion deblurring is that, the deconvolution algorithm can not directly be used to estimate blur kernel, due to the kernel of different pixels are different with each other....
Research Article

A Desirability Function-Based Relatively Optimal Interval Core Model and an Algorithm for Fuzzy Profit Allocation Problems of Enterprise Strategy Alliance

Fei Guan, Qiang Zhang
Pages: 1 - 13
Enterprise strategic alliance is a win-win business competition mode that has been developed in both academia and industry. How to allocate total profit fairly in an uncertain environment, however, is an important factor affecting the stability of the strategic alliance. To handle this problem, this...
Research Article

Spontaneous Concept Learning with Deep Autoencoder

Serge Dolgikh
Pages: 1 - 12
In this study we investigate information processing in deep neural network models. We demonstrate that unsupervised training of autoencoder models of certain class can result in emergence of compact and structured internal representation of the input data space that can be correlated with higher level...
Research Article

Comparing Circular Histograms by Using Modulo Similarity and Maximum Pair-Assignment Compatibility Measure

Pasi Luukka, Mikael Collan
Pages: 1 - 12
Histograms are an intuitively understandable tool for graphically presenting frequency data that is available for and useful in modern data-analysis, this also makes comparing histograms an interesting field of research. The concept of similarity and similarity measures have been gaining in importance,...
Research Article

Almost Automorphic Solutions to Cellular Neural Networks With Neutral Type Delays and Leakage Delays on Time Scales

Changjin Xu, Maoxin Liao, Peiluan Li, Zixin Liu
Pages: 1 - 11
In this paper, cellular neural networks (CNNs) with neutral type delays and time-varying leakage delays are investigated. By applying the existence of the exponential dichotomy of linear dynamic equations on time scales, a fixed point theorem and the theory of calculus on time scales, a set of sufficient...
Research Article

A Novel Role-based Access Control Model in Cloud Environments

Jun Luo, Hongjun Wang, Xun Gong, Tianrui Li
Pages: 1 - 9
In Cloud environments, the relationship between resources and users is more ad hoc and dynamic. The role-based access control (RBAC) model is an appropriate access control model for Cloud environments. When using the RBAC model in Cloud environments, some new elements should be considered. This paper...
Research Article

Bare bones particle swarm optimization with adaptive chaotic jump for feature selection in classification

Chenye Qiu
Pages: 1 - 14
Feature selection (FS) is a crucial data pre-processing process in classification problems. It aims to reduce the dimensionality of the problem by eliminating irrelevant or redundant features while achieve similar or even higher classification accuracy than using all the features. As a variant of particle...
Research Article

NIP - An Imperfection Processor to Data Mining datasets

JoséM. Cadenas, M. Carmen Garrido, Raquel Martínez
Pages: 3 - 17
Every day there are more techniques that can work with low quality data. As a result, issues related to data quality have become more crucial and have consumed a majority of the time and budget of data mining projects. One problem for researchers is the lack of low quality data in order to test their...
Review Article

Feature Selection for Multi-label Learning: A Systematic Literature Review and Some Experimental Evaluations

Newton Spolaôr, Huei Diana Lee, Weber Shoity Resende Takaki, Feng Chung Wu
Pages: 3 - 15
Feature selection can remove non-important features from the data and promote better classifiers. This task, when applied to multi-label data where each instance is associated with a set of labels, supports emerging applications. Although multi-label data usually exhibit label relations, label dependence...
Research Article

Adaptive Input Selection and Evolving Neural Fuzzy Networks Modeling

Alisson Marques Silva, Walmir Caminhas, Andre Lemos, Fernando Gomide
Pages: 3 - 14
This paper suggests an evolving approach to develop neural fuzzy networks for system modeling. The approach uses an incremental learning procedure to simultaneously select the model inputs, to choose the neural network structure, and to update the network weights. models with larger and smaller number...
Research Article

A joint optimization strategy for scale-based product family positioning

Yangjian Ji, Tianyin Tang, Chunyang Yu, Guoning Qi
Pages: 3 - 14
With the development of modern technologies and global manufacturing, it becomes more difficult for companies to distinguish themselves from their competitors. In order to keep their competitive advantages, companies must properly position their product families by offering a right product portfolio...
Review Article

A Comprehensive Literature Review of 50 Years of Fuzzy Set Theory

Cengiz Kahraman, Basar Öztaysi, Sezi Cevik Onar
Pages: 3 - 24
Fuzzy sets have a great progress in every scientific research area. It found many application areas in both theoretical and practical studies from engineering area to arts and humanities, from computer science to health sciences, and from life sciences to physical sciences. In this paper, a comprehensive...
Research Article

Implicit parameter estimation for conditional Gaussian Bayesian networks

Aida Jarraya, Philippe Leray, Afif Masmoudi
Pages: 6 - 17
The Bayesian estimation of the conditional Gaussian parameter needs to define several a priori parameters. The proposed approach is free from this definition of priors. We use the Implicit estimation method for learning from observations without a prior knowledge. We illustrate the interest of such an...
Research Article

Fuzzy Specification in Real Estate Market Decision Making

Victoria Lopez, Matilde Santos, Javier Montero
Pages: 8 - 20
In this paper we present a software tool designed as a decision aid system for all actors being involved when buying or selling real state, client and realtor, where a main objective for the commercial is to concentrate the client preferences into few alternatives. Since the required previous analysis...
Research Article

Reduct Driven Pattern Extraction from Clusters

Shuchita Upadhyaya, Alka Arora, Rajni Jain
Pages: 10 - 16
Clustering algorithms give general description of clusters, listing number of clusters and member entities in those clusters. However, these algorithms lack in generating cluster description in the form of pattern. From data mining perspective, pattern learning from clusters is as important as cluster...
Research Article

Cardinal, Median Value, Variance and Covariance of Exponential Fuzzy Numbers with Shape Function and its Applications in Ranking Fuzzy Numbers

S. Rezvani
Pages: 10 - 24
In this paper, the researcher proposed a method to cardinal, median value, variance and covariance of exponential fuzzy numbers with shape function . The covariance used in this method is obtained from the exponential trapezoidal fuzzy number, first by finding mathematical expectation and then calculating...
Research Article

A DC programming approach for feature selection in the Minimax Probability Machine

Liming Yang, Ribo Ju
Pages: 12 - 24
This paper presents a new feature selection framework based on the -norm, in which data are summarized by their moments of the class conditional densities. However, discontinuity of the -norm makes it difficult to find the optimal solution. We apply a proper approximation of the -norm and a bound on...
Research Article

Experimental Comparison of Iterative Versus Evolutionary Crisp and Rough Clustering

Pawan Lingras, Manish Joshi
Pages: 12 - 28
Researchers have proposed several Genetic Algorithm (GA) based crisp clustering algorithms. Rough clustering based on Genetic Algorithms, Kohonen Self-Organizing Maps, K-means algorithm are also reported in literature. Recently, researchers have combined GAs with iterative rough clustering algorithms...
Research Article

Evolutionary Feature Optimization for Plant Leaf Disease Detection by Deep Neural Networks

Jalal Sadoon Hameed Al-bayati, Burak Berk Üstündağ
Pages: 12 - 23
Apple leaf disease is the foremost factor that restricts apple yield and quality. Usually, much time is taken for disease detection with the existing diagnostic techniques; therefore, farmers frequently miss the best time for preventing and treating diseases. The detection of apple leaf diseases is a...
Research Article


Ebru Turanoğlu, İhsan Kaya, Cengiz Kahraman
Pages: 13 - 29
Acceptance sampling is primarily used for the inspection of incoming or outgoing lots. Acceptance sampling refers to the application of specific sampling plans to a designated lot or sequence of lots. The parameters of acceptance sampling plans are sample sizes and acceptance numbers. In some cases,...
Research Article

Germinal Center Optimization Algorithm

Carlos Villaseñor, Nancy Arana-Daniel, Alma Y. Alanis, Carlos López-Franco, Esteban A. Hernandez-Vargas
Pages: 13 - 27
Artificial immune systems are metaheuristic algorithms that mimic the adaptive capabilities of the immune system of vertebrates. Since the 1990s, they have become one of the main branches of computer intelligence. However, there are still many competitive processes in the biological phenomena that can...
Research Article

FISDeT: Fuzzy Inference System Development Tool

Giovanna Castellano, Ciro Castiello, Vincenzo Pasquadibisceglie, Gianluca Zaza
Pages: 13 - 22
This paper introduces FISDeT, a tool to support the design of Fuzzy Inference Systems, composed of a set of Python modules sharing the standard specification language FCL used for FIS definition. FISDeT includes a graphical user interface that enables easy definition and quick update of elements composing...
Research Article

A generalization of the Perona-Malik anisotropic diffusion method using restricted dissimilarity functions

C. Lopez-Molina, B. De Baets, J. Cerron, M. Galar, H. Bustince
Pages: 14 - 28
There exists a large number of techniques for content-aware smoothing. Despite its simplicity, the Perona-Malik Anisotropic Diffusion method is among the most employed ones. In this work we study this method in detail and propose a generalization of its diffusion scheme using restricted dissimilarity...
Research Article

Extended hesitant fuzzy linguistic term sets and their aggregation in group decision making

Hai Wang
Pages: 14 - 33
Group decision making problems which organize a group of experts to evaluate a set of alternatives with respect to several criteria are commonly discussed recently. Hesitant fuzzy linguistic term sets, characterized by a set of consecutive linguistic terms, act as a new model for qualitative settings...
Research Article

A simulation study of outpatient scheduling with multiple providers and a single device

Xiao-Dan Wu, Mohammad T. Khasawneh, Dian-Min Yue, Ya-Nan Chu, Zhan-Ting Gao
Pages: 15 - 25
Effective outpatient appointment scheduling aims at reducing patient waiting time and operational costs, and improving resource utilization, especially given the stochastic nature of patient arrivals. Unlike many western developed countries, China faces challenges due to imperfect appointment systems...
Research Article

Forecasting Direction of Trend of a Group of Analogous Time Series Using F-Transform and Fuzzy Natural Logic

Vilém Novák, Irina Perfilieva
Pages: 15 - 28
We present an idea to group time series according to similarity of their local trends and to predict future direction of the trend of all of them on the basis of forecast of only one representative. First, we assign to each time series an adjoint one, which consists of a sequence of the F1-transform...
Research Article

A Multiple Attribute Decision Making Approach Based on New Similarity Measures of Interval-valued Hesitant Fuzzy Sets

Yi Liu, Jun Liu, Zhiyong Hong
Pages: 15 - 32
Hesitant fuzzy sets, as an extension of fuzzy sets to deal with uncertainty, have attracted much attention since its introduction, in both theory and application aspects. The present work is focused on the interval-valued hesitant fuzzy sets (IVHFSs) to manage additional uncertainty. Now that distance...
Research Article

Gray Scale Edge Detection using Interval-Valued Fuzzy Relations

Agustina Bouchet, Pelayo Quirós, Pedro Alonso, Virginia Ballarin, Irene Díaz, Susana Montes
Pages: 16 - 27
Gray scale edge detection can be modeled using Fuzzy Sets and, in particular, Interval-Valued Fuzzy Sets. This work is focused on studying the performance of several Interval-Valued Fuzzy Sets construction methods for detecting edges in a gray scale image. These construction methods are based on considering...
Research Article

Support Vector Machines with Manifold Learning and Probabilistic Space Projection for Tourist Expenditure Analysis

Xin Xu, Rob Law, Tao Wu
Pages: 17 - 26
The significant economic contributions of the tourism industry in recent years impose an unprecedented force for data mining and machine learning methods to analyze tourism data. The intrinsic problems of raw data in tourism are largely related to the complexity, noise and nonlinearity in the data that...